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Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. Geosampling is a probability-based, gridded...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944062/ https://www.ncbi.nlm.nih.gov/pubmed/29743081 http://dx.doi.org/10.1186/s12942-018-0132-1 |